219 results about "Building industry" patented technology

The invention relates to the technical field of computer application, in particular to an industry document generation method based on a large language model and retrieval enhancement, which comprises the following steps: acquiring a first user demand of a building engineering project to be input, performing data preprocessing on the first user demand, and acquiring the preprocessed first user demand; performing semantic alignment on the preprocessed first user demand by adopting a cross-modal embedding model to generate a multi-modal fusion vector; according to a dynamic semantic slicing strategy, performing slice segmentation on the multi-modal fusion vector, and obtaining a plurality of slice units containing complete semantics as segmented multi-modal fusion vectors; inputting the segmented multi-modal fusion vector into a pre-trained special retrieval enhancement large model for the building industry, and generating an industry document which conforms to a building engineering specification and a first user demand; according to the method, the problems that the generated building related document content in the building industry is low in professionality and accuracy and cannot meet the industry requirements are solved.

The invention discloses an industrial building business service management method and device and a medium, and belongs to the technical field of building service management, and the method specifically comprises the steps: constructing a multi-dimensional data fusion model; defining cost, progress, quality and security dimension data ranges and acquisition nodes, and storing the data ranges and the acquisition nodes in a model database after standardization; based on the standardized data of the multi-dimensional data fusion model, analyzing a dimension internal relationship by using an association rule mining algorithm, defining a dimension mapping relationship, and integrating to form an association rule base; establishing a multi-dimensional linkage analysis module; the module is established by taking a model database as a data source and a multi-dimensional data association rule base as a logic support, and a threshold triggering mechanism and a cross-link data calling function are set; constructing a business collaborative decision support module; business requirements of multiple departments are integrated; a multi-dimensional data visualization monitoring platform is built; and designing a linkage trend chart based on a result of the multi-dimensional linkage analysis module.

The invention provides a building industry finance and tax compliance digital evidence chain integrated platform which is deployed based on a cloud computing architecture and comprises a distributed server cluster, a network communication module and a database storage system. By constructing the integrated digital platform, fundamental efficiency improvement and risk management and control reinforcement of finance and taxation management in the building industry are realized, the platform enables a data acquisition process to be highly automatic, manual repeated entry work is greatly eliminated, financial personnel are liberated from tedious account checking, and the financial personnel are greatly improved. The compliance check module based on a rule engine and artificial intelligence can perform real-time and comprehensive automatic analysis on all transaction data, significantly improves the identification accuracy and timeliness of potential compliance risks, realizes instant alarm, converts passive risk response into active risk response, and improves the risk handling efficiency. Compared with a traditional manual mode, the data processing speed is improved in order of magnitude, the monthly checkout and report generation time is greatly shortened, the enterprise decision cycle is remarkably accelerated, and the overall operation efficiency is improved.

The invention provides a building material retrieval method, which comprises the following steps of: acquiring a building material retrieval request described by a natural language of a user, performing deep semantic analysis by using a large language model to extract key information such as names, specifications, performances, scenes and the like, and generating a keyword set; performing synonym, hypernym, hypernym, industry term and associated word expansion on the keywords based on material attributes and semantic correlation to form an expanded keyword set; comprehensively retrieving multi-dimensional attributes such as names, specifications, performance, manufacturers, prices and the like in the building material database to obtain preliminary results; and performing weighted scoring and sorting by using multiple factors such as a semantic matching degree, an attribute matching degree, user evaluation and a market trend, and outputting a visual chart. According to the method, the building material retrieval accuracy, efficiency and user experience can be improved, and diversified retrieval requirements of professional users in the building industry are met.

The invention discloses a building industry multi-subject collaborative full life cycle carbon emission management system and method, and relates to the technical field of building industry carbon emission management. The system comprises a carbon perception and data collaboration module, a carbon simulation and deduction module, a carbon optimization and collaborative regulation and control module, a carbon accounting and auditing traceability module and a carbon decision and knowledge generation module. Multi-source heterogeneous data is converted into a carbon flow unit with time, space and responsibility subject attributes, data checking, locking and compliance sharing are achieved by means of a multi-subject data collaboration pool, carbon data barriers among all responsibility subjects are broken through, the problems of fragmentization of carbon data collection and lack of collaboration are solved, and the data collection efficiency is improved. And meanwhile, the carbon accounting and audit traceability module completes multi-dimensional accounting based on the carbon flow unit, and establishes a digital carbon chain pointing to an original data source and a responsibility subject, so that full-link traceability of carbon emission data is realized.

The invention discloses a Langchain-based building specification graphical representation multi-modal question answering method and equipment, belongs to the technical field of artificial intelligence and building industry crossing, and is used for solving the problems of difficulty in processing multi-modal information, low query efficiency and the like in building industry specification graphical representation question answering. The method comprises the following steps: constructing a building specification multi-modal database, and carrying out storage management on building specification multi-modal data; based on a user query instruction, retrieving the multi-modal database from different dimensions; generating a structured answer corresponding to the user query instruction according to the retrieval result; and performing image-text consistency verification on the structured answer, and after the verification is passed, outputting the answer corresponding to the user query instruction. According to the method, a complete building specification question answering system is constructed, efficient and accurate building specification multi-mode question answering is achieved, and the building specification query efficiency is improved.

The invention relates to the technical field of concrete 3D printing, in particular to modified alkali-resistant regenerated glass fiber reinforced concrete and a preparation process thereof, and the modified alkali-resistant regenerated glass fiber reinforced concrete is prepared from the following components in parts by weight: 600-650 parts of cement, 90-100 parts of fly ash, 30-35 parts of silica fume, 500-600 parts of river sand, 0.5-6 parts of modified alkali-resistant regenerated glass fibers, 10-15 parts of a water reducing agent and 120-200 parts of water. According to the invention, the regenerated glass fiber obtained by recovering the waste fan blades is used as a reinforcing material of the concrete, so that the resource consumption can be effectively reduced, and the carbon emission is reduced; the invention provides a surface modification method aiming at regenerated glass fibers, so that the long-term durability of the regenerated glass fibers in an alkaline cement matrix is enhanced, the generation of microcracks on a fiber and cement interface is reduced, and the constructability and excellent mechanical properties of the 3D printing concrete are improved. The method not only meets the requirements of digital and intelligent transformation and upgrading of the building industry, but also provides a new method for recycling of waste resources and sustainable development of the building industry, and has relatively high economic and environmental benefits.

The invention discloses a digital transformation maturity evaluation system and method based on a multi-dimensional quantitative index in the technical field of building industry digitization. The method comprises the following steps: acquiring various system data of an enterprise; the method comprises the following steps of: normalizing original data of sub-indexes of each dimension in data of each system of an enterprise through an evaluation engine deployed in a cloud server, weighting and aggregating, and calculating a comprehensive maturity index; calculating a dynamic evolution rate by using an evaluation engine in combination with historical comprehensive maturity index data, an enterprise resource investment ledger and an industry reference library; calculating bottleneck factors by using an evaluation engine in combination with enterprise self-evaluation data and an industry benchmark database; the enterprise bottleneck dimension is evaluated based on the bottleneck factor and then an improved scheme is fed back, the enterprise efficiency level is evaluated based on the dynamic evolution rate and then resource investment is adjusted, and the enterprise maturity is evaluated based on the comprehensive maturity index and then a stage route map is generated. According to the invention, the digital level of the building enterprise can be scientifically diagnosed, and transformation path planning is guided.

The invention discloses a construction industry intelligent construction site construction machinery management platform which comprises a sensing layer, a positioning module, a video monitoring module, a network transmission module, a platform layer and a risk planning module. The risk planning module is introduced, the module dynamically evaluates a current operation risk coefficient by analyzing historical accident data and an equipment operation rule, and intelligently adjusts the motion capture frequency of the video monitoring module accordingly, and when the risk coefficient is relatively high, the system automatically improves the monitoring frequency and strengthens the supervision strength on a high-risk time period or working condition; and when the risk is relatively low, the monitoring frequency is properly reduced, so that on the premise of ensuring the safety, system resource occupation is optimized, invalid data redundancy is avoided, the overall operation efficiency is improved, 'on-demand response 'of safety monitoring is realized, the supervision of a high-risk link is enhanced, resource waste and privacy dispute caused by all-weather high-frequency monitoring are avoided, and the safety of the system is improved. And flexibility and scientificity of intelligent management are embodied.

The invention relates to a fabricated cavity component intelligent production system based on an SPCS system and a whole-process quality control method. The system comprises a modular flexible production line, an intelligent turnover machine and a concrete pouring intelligent cooperative control system, and efficient and intelligent production of components is achieved. According to the full-process quality control method, high quality and stability of production are ensured through multi-dimensional quality defect AI pre-judgment, process parameter dynamic optimization, full-life-cycle quality tracing and a self-adaptive process correction mechanism. The production efficiency is improved, the labor dependence is reduced, the environmental pollution is reduced, and a design-production-construction-operation and maintenance whole industrial chain solution is provided for the prefabricated building industry.

The utility model relates to building industry technical field discloses a kind of building machinery transfer equipment, including rack, transplanting device is installed on the rack, with the rack dismounting connection, lifting device is set in the middle of the transplanting device, the transplanting device can be moved linearly along horizontal direction relative to the rack to drive the lifting device to move, clamping device is installed at the bottom end of the lifting device, the lifting device can drive the clamping device to move along vertical direction, walking wheel is fixedly installed at the four corners of the rack bottom end by bolt, solenoid valve is installed in one side in the rack, support column is set in the middle of the rack and is traversely penetrated;High flexibility can be when transferring building goods, when construction site construction, it will not need manual to move goods because of road problem, construction efficiency is high, greatly reduces artificial cost and labor force by the carrying of machine, with good market application value.

The utility model relates to a combined spiral expanding drill bit, and belongs to the technical field of construction drilling tools in the building industry. The structure is composed of an upper structure and a lower structure. A spiral blade I is arranged on the outer circumference of a core tube I of the upper structure, an axial opening is formed in the outer circumference of the lower end part of the core tube I, a diameter expanding block is movably connected to the opening, and the diameter expanding block is connected with a diameter expanding device arranged in the core tube I through a yoke plate; a spiral blade II is arranged on the outer circumference of a core pipe II of the lower structure, the spiral blade II and the spiral blade I are the same in rotating direction, and the joint is kept continuous; the upper end surface of the core tube II is movably connected with the lower end surface of the core tube I; the lower end of the core tube II is movably connected with a drill tip assembly; an inner pipe is arranged in an inner cavity of the core pipe I, and an inner cavity of the inner pipe is communicated with an inner cavity of the core pipe II. The drill bit adopts a combined structure, and can be quickly disassembled without damaging the oil cylinder when the abraded part of the drill bit is repaired, so that the replacement efficiency is improved, the construction progress is ensured, and the drill bit cost is reduced.

The invention discloses a construction industry warehouse order time consumption prediction method and system based on machine learning. The method comprises the steps of collecting order data and cleaning the order data; constructing a multivariable feature set and carrying out one-hot coding; an XGBoost model is adopted for training, and parameters are optimized through grid search and random search; a prediction interface is deployed to a warehouse management system, the system comprises a data acquisition module, a data preprocessing module, a feature engineering module, a model training module, a prediction interface module and a prediction module, and tests show that the prediction precision Rreaches 0.85, the MAE is 10.6 minutes, the scheduling conflict rate is reduced to 2%, and the operating cost is saved by 75% annually. The problems that a traditional method depends on manpower and is low in precision are solved.

The utility model relates to building industry technical field discloses a novel socket device of smoke flue, including iron sheet frame, the inside of iron sheet frame is provided with lower smoke flue pipe and upper smoke flue pipe, upper smoke flue pipe sets up the top of lower smoke flue pipe, is provided with sealing assembly between lower smoke flue pipe and upper smoke flue pipe, sealing assembly includes connecting frame, connecting frame sets up between lower smoke flue pipe and upper smoke flue pipe, and both sides of connecting frame are fixedly connected with inner frame and outer frame, the utility model discloses utilize bottom sealing gasket, inner sealing frame and outer sealing frame carry out first layer sealing to butt joint gap, then through the gap of outer inner concrete cushion layer sealing smoke flue pipe and outer frame forms second layer sealing, utilizes sealing rubber strip to form third layer sealing to the included angle gap sealing, heat shrinkage film is wrapped and is convenient for the fourth layer sealing of enhancing sealing property, and the outer concrete cushion layer outer seal fixed heat shrinkage film and further strengthen the sealing property and form the fifth layer sealing.

The application discloses a kind of low-carbon composite cementitious material for deep foundation pit engineering and preparation method thereof, belong to building material technical field.The low-carbon composite cementitious material for deep foundation pit engineering, including following weight parts raw materials: 70-90 parts of slag, 5-10 parts of cement, 10-30 parts of phosphogypsum, 5-20 parts of modified secondary aluminum ash, 2-10 parts of modified 5A zeolite, 5-10 parts of organic curing agent, 1-5 parts of carbide slag, 0.03-0.2 parts of alcohol amine early strength agent, 0.5-8 parts of potassium dihydrogen phosphate, 2-8 parts of magnesium oxide, 2-3.5 parts of acid activator, 20-50 parts of water, by making full use of industrial waste slag, secondary aluminum ash, carbide slag, phosphogypsum, reduce resource waste and environmental pollution, convert industrial solid waste into environmental protection building material, realize the diversification of product, functionalization, green, can replace traditional reinforced concrete material, significantly reduce the carbon emission in deep foundation pit engineering, help building industry low-carbon transformation.

This invention relates to the field of building materials supply chain technology, specifically to an intelligent recommendation method and system for building materials supply chains, comprising the following steps: suppliers upload reports to a platform, the platform generates a data package of information and synchronizes it to a procurement cloud platform; the procurement cloud platform receives the data, generates industry tags, calculates indicator scores, and builds tables to form a classification index system; buyers submit requirements, the platform parses the requirements and executes a screening mechanism to screen suppliers and generate a list of solutions based on comprehensive scoring; buyers evaluate and select suppliers to generate orders, and the platform updates inventory and logistics information. This invention comprehensively records supplier information and constructs a classification index through multi-dimensional data processing technology, achieving accurate screening; it uses dynamic scoring and hierarchical screening technology to flexibly adjust screening criteria; it breaks down the global problem through grouping and parallel computing technology to improve computational efficiency; and it objectively evaluates suppliers through comprehensive scoring technology, ultimately improving procurement efficiency and optimizing supply chain matching.

The invention relates to the technical field of the building industry, and discloses a fabricated steel structure and an installation method, the fabricated steel structure comprises frame columns and frame beams, and the frame columns and the frame beams are connected in a matched mode; the modular node units are detachably connected with the frame columns and the frame beams respectively; the modularized joint unit comprises a first connecting plate and a second connecting plate, the sides, deviating from each other, of the first connecting plate and the second connecting plate are suitable for being connected with one ends of the adjacent frame columns correspondingly, and a box type steel column section is arranged between the first connecting plate and the second connecting plate; the two ends of the box type steel column section are connected with the first connecting plate and the second connecting plate correspondingly. The modularized joint units are further provided with I-shaped steel beam ends, and the two I-shaped steel beam ends are connected with the two ends of the box type steel column section respectively in the extending direction of the frame beam.

The utility model discloses a movable robot construction device based on a fusion positioning system. The movable robot construction device comprises a movable construction platform, a mechanical arm carried on the platform and a construction tool assembled at the tail end of the mechanical arm. The mobile construction platform is further provided with a UWB signal receiver and an IMU motion inertial sensor, and the UWB signal receiver and the IMU motion inertial sensor are used for achieving positioning and navigation of the mobile construction platform. The building tool comprises a clamping jaw assembly, a nail gun assembly and a visual assembly which are integrated, and the visual assembly is used for being matched with the clamping jaw assembly and the nail gun assembly to achieve automatic grabbing, transferring and fixing of building timber. By fusing an intelligent positioning system and an unmanned construction technology, the system can solve the problems of low efficiency, poor precision, insufficient safety and the like in traditional manual construction, has wide application prospects in the field of intelligent building construction, is particularly suitable for automatic construction of well dry type wood structures, and has wide application prospects. And the efficiency and quality of building construction can be remarkably improved, and intelligent development of the building industry is promoted.

The invention discloses a high-rise emergency escape structure, and provides a high-rise fire emergency escape structure for the building industry. On the basis of a conventional infrastructure, an eave is arranged outside a window (4), a fire wall is arranged on the eave or the side face of a balcony, a single-side mechanical unlocking automatic closing fireproof door (3) is arranged on the fire wall, and a platform (5) is arranged outside the single-side mechanical unlocking automatic closing fireproof door (3). A self-folding pedal (2) is arranged on the platform (5), or the self-folding pedal (2) and a rod (1) are directly arranged outside the single-side mechanical unlocking automatic closing fireproof door (3). And the problem that people are difficult to escape after the high-rise residence is on fire can be easily solved in cooperation with the corresponding channel and the fireproof, heat-insulating, smoke-isolating and anti-theft device. Generally, a single person can escape to the ground within seconds. And the casualty rate during high-rise fire can be greatly reduced. And neighbors cooperate with each other, so that more fire-fighting safety channels can be provided. In addition, casualties caused by fire disasters can be greatly reduced by covering the fire source and wrapping the body with the fireproof heat insulation cloth.

The invention discloses a building industry economy-energy-carbon emission space-time evolution analysis method and system, and relates to the technical field of data processing. The method comprises the following steps: S1, constructing a construction industry low-carbon economic benefit two-dimensional index system; step S2, establishing a space-time evolution analysis framework with coupled VAR-LSTM-sHMM three models; s3, designing a multi-scene dynamic evolution simulation and intervention module; and S4, constructing a building industry economy-energy-carbon emission space-time evolution analysis system. According to the method, a TVP-VAR-LSTM-SDW-sHMM three-model coupling framework is built; the historical back test proves that the prediction error rate of the framework on the low-carbon economic benefit comprehensive index is reduced, the model precision is improved, and reliable data support is provided for long-term low-carbon planning.

The invention relates to a method for producing tiles using coffee bean membranes instead of coffee grounds from coffee bean membrane waste, called silver skin, which are used as flooring materials in the construction industry.

The invention discloses a building industry industrial internet platform established based on data elements and a clustering algorithm, and relates to the technical field of building industry industrial chain supplier management. A multi-dimensional clustering module adaptively selects a clustering algorithm through multi-dimensional evaluation based on a spatial-temporal characteristic matrix; a clustering parameter configuration set is generated in combination with an elbow rule and a contour coefficient method, clustering parameters are optimized to eliminate empirical preset deviation, and supplier classification accuracy and service adaptability are remarkably improved. The risk early warning module generates a composite risk rule set integrating static and dynamic thresholds based on a supplier grading strategy instruction set and a cluster feature quantification report, monitors indexes in real time through a threshold comparison mechanism, automatically marks high-risk suppliers when the thresholds exceed the thresholds, generates an early warning list, breaks through fixed threshold response delay, and improves the early warning efficiency. And accurate and active prevention and control of supply chain risks are realized.

The application discloses a kind of based on smart measuring equipment's acceptance data generation method of division, it is related to building acceptance technical field, to the fusion analysis of multi-source building data, building data is divided into normal state data and abnormal state data, extract the key frame and non-key frame of normal state data, non-key frame is compressed storage to dimension reduction, potential uneven area is layered coding, final output is uploaded to acceptance platform and early warning system, the application realizes the fusion analysis and abnormal detection of multi-source building data by smart measuring equipment, improves acceptance efficiency and accuracy.Meanwhile, based on historical defect database training defect growth prediction model, combined with causal diagram analysis, realize the leap from experience acceptance to scientific prevention, defect growth simulation as dynamic verification tool, causal diagram as scientific guidance framework, provide scientific basis for long-term monitoring and prevention of building quality, promote the sustainable development of building industry.

This invention discloses a method for predicting the cooling load of public buildings based on spatiotemporal attention transfer learning, comprising the following steps: collecting multi-source heterogeneous data of the target building and constructing a multimodal spatiotemporal dataset; then filtering and classifying the multimodal spatiotemporal dataset to obtain core features of different building types; calculating the subjective and objective weights corresponding to each core feature, and combining the subjective weights to calculate the dynamic weight vector of each core feature; then weighting the dynamic weight vectors of each core feature, and outputting the temporal features affecting the cooling load value based on the temporal dependency of the cooling load; finally, optimizing the weights and enhancing the features of the temporal features, and predicting the enhanced temporal features through a fully connected output layer to output the predicted cooling load value. This invention can achieve universal adaptation for predicting the cooling load of buildings of various types and improve the prediction stability of building cooling load in long-term prediction.

This invention relates to the field of engineering management informatization and data processing technology, and discloses a construction industry resource matching and performance early warning system based on business data fusion. The system includes a multi-source heterogeneous data mapping module that constructs a resource-time slot matrix and transforms financial, physical, and information flow data into standardized feature vectors; a dynamic performance status entropy calculation module that calculates performance status entropy to quantify risk; a time slot adaptive modulation module that dynamically controls time slot granularity splitting or merging and adjusts data sampling frequency based on entropy gradient; a resource status latch control module that generates latch status bits that determine resource visibility based on a multi-dimensional confidence consensus protocol; and a topology path matching and risk blocking module that plans the minimum entropy increase path in the activated resource pool and directly modifies the latch bits based on risk flux propagation prediction to block risk propagation. This invention, based on entropy gradient adaptive modulation and status latching mechanisms, achieves unified quantification of resource risks, dynamic scaling of monitoring granularity, and proactive blocking of cascading risks.

Methods of processing phosphogypsum (PG) to recover Radium (e.g., 226Ra), and / or other constituents from PG, are described. PG (stockpiled PG, fresh PG or a combination) is combined with a leach solution, allowed to react for 2-6 hours (e.g., a single leaching step), at a temperature in the range of about 40-70 °C to obtain leachate and leach residue. Further processing by subjecting the leachate and / or the leach residue to one or more separation techniques, such as ion exchange, enables the recovery of one or more constituents of interest. By separating 226Ra, rare earth elements (REE) and / or other constituents from this secondary resource (e.g., waste PG), gypsum can be purified for use in the construction industry, the recovery of 226Ra can be used to produce dedicated isotopes like 223Ra and / or 223 Ac for life-saving cancer medication, and raw materials can be provided for the high-tech industry, agriculture and the building industry.

A binder composition including: (a) between 10% and 49% in dry weight of Portland cement, lime or a mixture thereof; (b) between 10% and 49% in dry weight of at least one pozzolanic material; (c) between 21% and 80% in dry weight of at least one filler; (d) between 0.1% and 10% in dry weight, relative to the total weight of components (a), (b) and (c), of at least one activator; (e) between 0.05% and 1.5% in dry weight, relative to the total weight of components (a), (b) and (c), of at least one rheology enhancing admixture. The filler is a particles mixture of: between 10% and 100% in weight, in respect with the total weight of the filler, of particles having a d50 greater than or equal to 0.05 μm and strictly less than 8 μm, and between 0% and 90% in weight, in respect with the total weight of the filler, of particles having a d50 greater than or equal to 8 μm and less than 200 μm.

The invention discloses a precise generation and computing power cooperation technology based on an AIGC platform, and relates to the technical field of AI application in the building industry. According to the technology, by constructing an enterprise-level AI comprehensive platform integrating an AI technology forum, an AI tool resource library, a computing power dynamic scheduling module and a multi-level authority control module, the problems of resource dispersion, uneven computing power, extensive authority and low knowledge sharing efficiency are solved. The core of the method comprises the following steps: realizing three functions of creative oasis, model ocean and inspiration sky, and supporting picture uploading, AI same-style generation, model management and text drawing operation; a reinforcement learning-based computing power dynamic scheduling algorithm is adopted to intelligently allocate computing power resources; and designing a three-dimensional permission cube model to realize refined permission control of roles, scenes and operations. According to the method, the resource searching efficiency can be improved by more than 60%, the hardware resource utilization rate can be increased to 85%, the enterprise cost is effectively reduced, the data safety is guaranteed, and large-scale collaboration and digital transformation of AI application in the building industry are promoted.

The utility model provides a kind of cantilever beam support structure, it is related to cantilever beam technical field, comprising: inclined column, it is set to the side of support surface, and by lower to upper gradually away from support surface;Multiple crossbeam, each the crossbeam is spaced apart between inclined column and the support surface by lower to upper setting.The utility model has beneficial effect: the particularity of cleverly using the large-angle extension of inclined column is achieved by setting inclined column, by the inside steel beam, four inclined braces, and relevant node strengthening method of design, so that it forms a complete structure system, under the premise of guaranteeing its safety, the cantilever span of cantilever beam can be greatly increased, the room function and building design aesthetic type of existing building industry are increased;The bearing capacity and deformation capacity of entire structure system can be greatly increased by setting shaped steel in concrete beam in the structure device, the problems of large amount of engineering material, large cantilever structure, high cost, cantilever beam easy cracking deformation and other problems can be effectively solved.

The invention discloses a building consultation system based on a cloud platform, and relates to the technical field of building consultation. The system comprises a user terminal, a cloud platform server and a consultation service terminal. The user terminal is used for submitting consultation demand information, querying progress and receiving a result; the cloud platform server comprises a data storage module, a demand analysis module, a service matching module, a progress tracking module, a result feedback module and the like, intelligent analysis of consultation demands, accurate matching of service personnel, real-time monitoring of a consultation process and result compliance auditing can be realized, and meanwhile, a building industry knowledge base and historical case data are stored; the consultation service terminal is used for service personnel to receive requirements, upload progress, submit results and look up a knowledge base and historical cases. The system can expand functions of user evaluation, automatic data updating, multi-terminal cooperation, risk early warning and the like, improves consultation service quality and industry cooperation efficiency, and is suitable for consultation scenes of various building projects.